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Rank abundance relations in evolutionary dynamics of random replicators.

Yoshimi Yoshino1, Tobias Galla, Kei Tokita

  • 1Graduate School of Science and Cybermedia Center, Osaka University, Toyonaka, Osaka 560-0043, Japan. yoshimi@cp.cmc.osaka-u.ac.jp

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 15, 2008
PubMed
Summary

This study uses nonequilibrium statistical mechanics to model ecological communities, revealing how interaction symmetries and productivity shape species abundance distributions. The findings provide insights into food web structures and species diversity.

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Area of Science:

  • Ecology
  • Statistical Mechanics
  • Theoretical Biology

Background:

  • Rank abundance relations (RARs) are key ecological descriptors of species diversity.
  • Previous models often assumed equilibrium conditions or symmetric interactions.

Purpose of the Study:

  • To develop a nonequilibrium statistical mechanics framework for ecological rank abundance relations.
  • To analyze the impact of interaction symmetry (symmetric, asymmetric, antisymmetric) on community structure.
  • To extend previous equilibrium models to a more general, nonequilibrium setting.

Main Methods:

  • Utilized a multispecies replicator system with quenched random interaction matrices.
  • Employed generating functional analysis to derive analytical solutions for RARs.
  • Characterized fixed-point states using order parameters and community productivity.

Main Results:

  • Derived analytical expressions for RARs, dependent on interaction symmetry and productivity.
  • Species abundance distributions were found to be truncated normal or related forms, sometimes resembling observed ecological distributions.
  • Characterized the food web structure at stationarity, including cooperation pressures and finite size effects.

Conclusions:

  • Nonequilibrium statistical mechanics provides a robust framework for understanding ecological RARs.
  • Interaction symmetry significantly influences species abundance and food web architecture.
  • The model offers a more realistic description of ecological communities compared to equilibrium assumptions.